{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BankRenegeSimulator 项目展示\n",
    "\n",
    "基于 SimPy 2 教程的 `TheBank` 教程的程序 `bank08.py` 改进。\n",
    "\n",
    "项目展示了 SimPy 仿真工具包良好的可封装特性，**对于更加宽泛且常用的仿真系统，建立 SimPy 模型后可以进行二次封装和调用。** 以实现资源的统筹、规划、管理和针对性应用。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "涵盖的内容：\n",
    "\n",
    "- 多服务台并联\n",
    "- 排队系统\n",
    "- 条件事件\n",
    "\n",
    "场景：\n",
    "\n",
    "一组服务时间随机的柜台，可能顾客因等待时间过长而离开。\n",
    "\n",
    "经过改进和封装后后的代码包含两个类：\n",
    "\n",
    "- `BankSimulator` 银行模拟器类\n",
    "- `queue_info` 仿真结果信息类\n",
    "\n",
    "排队信息保存为 `DataFrame`，传递给 `queue_info` 的 `__init__`，把输出结果变成一个“输出结果类”，对这个类进行实例化之后，只要对这个类的属性和方法进行调用，就可以实现仿真结果的查看和绘图。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 导入工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import simpy\n",
    "import pyforest\n",
    "from BankRenegeSimulator import *\n",
    "pd.set_option('display.max_rows', 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 设置仿真参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "RANDOM_SEED = 42           # 随机种子\n",
    "NEW_CUSTOMERS = 600        # 顾客总人数\n",
    "INTERVAL_CUSTOMERS = 10.0  # 大约每 n 分钟生成一名顾客\n",
    "MIN_PATIENCE = 1           # 顾客的最小耐心时间\n",
    "MAX_PATIENCE = 10          # 顾客的最大耐心时间\n",
    "NUM_COUNTER = 1            # 银行柜台数\n",
    "TIME_IN_BANK = 10.0        # 顾客滞留在银行里的时间\n",
    "VIP_SCALE = 0.1            # 顾客中 VIP 的比例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 实例化仿真环境和仿真器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "random.seed(RANDOM_SEED)\n",
    "env = simpy.Environment()\n",
    "simBank = BankSimulator(\n",
    "    env, \n",
    "    NEW_CUSTOMERS,\n",
    "    NUM_COUNTER,\n",
    "    INTERVAL_CUSTOMERS,\n",
    "    TIME_IN_BANK,\n",
    "    MAX_PATIENCE,\n",
    "    MIN_PATIENCE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 运行仿真环境"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "env.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由于输出结果太长，输出结果被隐藏了。下面截取部分运行结果进行展示：\n",
    "\n",
    "```\n",
    "...\n",
    "7.5983 25: Here I am\n",
    "37.7295 26: Here I am\n",
    "38.9919 27: Here I am\n",
    "39.2378 20: Finished\n",
    "39.2378 24: Waited  1.971\n",
    "40.2984 19: Finished\n",
    "40.2984 25: Waited  2.700\n",
    "40.4544 24: Finished\n",
    "40.4544 26: Waited  2.725\n",
    "42.8030 23: Finished\n",
    "42.8030 27: Waited  3.811\n",
    "42.9353 28: Here I am\n",
    "43.7669 29: Here I am\n",
    "44.9762 30: Here I am\n",
    "47.8468 31: Here I am\n",
    "47.8482 28: RENEGED after  4.913\n",
    "51.9352 32: Here I am\n",
    "53.3524 33: Here I am\n",
    "53.5139 29: RENEGED after  9.747\n",
    "54.1898 30: RENEGED after  9.214\n",
    "54.2292 11: Finished\n",
    "54.2292 33: Waited  0.877\n",
    "54.3108 32: RENEGED after  2.376\n",
    "54.3526 26: Finished\n",
    "...\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 利用 .result() 接口快速提取仿真结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = simBank.result()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`result` 实例内置了可直接调用的绘图方法 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 2400x1200 with 2 Axes>,\n",
       " array([<Axes: title={'center': 'wait time'}>,\n",
       "        <Axes: title={'center': 'queue length'}>], dtype=object))"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2400x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result.plot_info(dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer</th>\n",
       "      <th>wait_time</th>\n",
       "      <th>is_reneged</th>\n",
       "      <th>is_VIP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1.286044</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>2.983966</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>5.548198</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>596</td>\n",
       "      <td>3.868610</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>595</td>\n",
       "      <td>9.474278</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>597</td>\n",
       "      <td>2.184969</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>598</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>599</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>600 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Customer  wait_time  is_reneged  is_VIP\n",
       "0          0   0.000000       False   False\n",
       "1          1   0.000000       False   False\n",
       "2          2   1.286044        True   False\n",
       "3          5   2.983966        True   False\n",
       "4          3   5.548198        True   False\n",
       "..       ...        ...         ...     ...\n",
       "595      596   3.868610        True    True\n",
       "596      595   9.474278        True   False\n",
       "597      597   2.184969       False   False\n",
       "598      598   0.000000       False   False\n",
       "599      599   0.000000       False   False\n",
       "\n",
       "[600 rows x 4 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unreneged_custumor = result.wait_time_df[\n",
    "    result.wait_time_df['is_reneged'] == False\n",
    "] # 提取没有中途跑路的顾客\n",
    "all_customer = result.wait_time_df\n",
    "all_customer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Python\\Python39\\Lib\\site-packages\\seaborn\\_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "D:\\Python\\Python39\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, '未退出客户的等待时间分布')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1920x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(dpi=300)\n",
    "sns.histplot(\n",
    "    unreneged_custumor['wait_time'], \n",
    "    bins=10,\n",
    "    kde=True,\n",
    "    ax=ax, \n",
    "    label='waiting time (unreneged)' )\n",
    "ax.legend()\n",
    "ax.set_xlabel('等待时间')\n",
    "ax.set_ylabel('客户数量')\n",
    "ax.set_xlim(0, MAX_PATIENCE)\n",
    "fig.suptitle('未退出客户的等待时间分布')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
